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independently and in cooperation with Piotr Slomka, PhD, Director, Innovation in Imaging and Principal Investigator, as part of a medical imaging and artificial intelligence research team within the Department
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to complementary expertise in energy systems, spatial analysis, and artificial intelligence. The PhD position will be formally hosted at Empa, with opportunities for research stays at partner institutions in
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Computer Science, Data Science, and Artificial Intelligence, in both our West Lafayette and Indianapolis locations, as well as graduate MS and PhD programs. For more information, see https://www.cs.purdue.edu
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evaluation, Interpretation of results in applied environments. Specific Requirements Knowledge: Artificial Intelligence: machine learning, reinforcement learning, demonstration learning and reinforcement
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of the Informatics Institute (IvI) is to perform curiosity-driven and use-inspired fundamental research in Computer Science. The main research themes are Artificial Intelligence, Computational Science and Systems and
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computational biology to leverage state-of-the-art artificial intelligence to design and implement or use generative models targeting RNA, DNA, and cellular systems, to enable novel insights into biology and
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emphasizes statistical inference within high-dimensional testing frameworks and incorporates robust feature selection into artificial intelligence techniques. The team collaborates closely with the Stanford
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-driven biomarkers Initial focus will be placed on projects designed to refine and validate artificial intelligence (AI) algorithms for analyzing OCT imaging in diabetic macular edema (DME). Data processing
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to Artificial Intelligence and Justice (m/f/d). The Institute of History and Ethics in Medicine (IHEM) is part of the School of Medicine and Health at the Technical University of Munich. At the Institute
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of Assistant or Associate Professor. Candidates with a special interest in artificial intelligence, quantum computing, cardiovascular or metabolic health, infectious disease prevention and management